Genomics Commons^™

Srtsim: Spatial Pattern Preserving Simulations For Spatially Resolved Transcriptomics, Jiaqiang Zhu, Lulu Shang, Xiang Zhou

Faculty, Staff and Student Publications

Spatially resolved transcriptomics (SRT)-specific computational methods are often developed, tested, validated, and evaluated in silico using simulated data. Unfortunately, existing simulated SRT data are often poorly documented, hard to reproduce, or unrealistic. Single-cell simulators are not directly applicable for SRT simulation as they cannot incorporate spatial information. We present SRTsim, an SRT-specific simulator for scalable, reproducible, and realistic SRT simulations. SRTsim not only maintains various expression characteristics of SRT data but also preserves spatial patterns. We illustrate the benefits of SRTsim in benchmarking methods for spatial clustering, spatial expression pattern detection, and cell-cell communication identification.

A Biallelic Frameshift Indel In Ppp1r35 As A Cause Of Primary Microcephaly, Moez Dawood, Gulsen Akay, Tadahiro Mitani, Dana Marafi, Jawid M Fatih, Alper Gezdirici, Hossein Najmabadi, Kimia Kahrizi, Jaya Punetha, Christopher M Grochowski, Haowei Du, Angad Jolly, He Li, Zeynep Coban-Akdemir, Fritz J Sedlazeck, Jill V Hunter, Shalini N Jhangiani, Donna Muzny, Davut Pehlivan, Jennifer E Posey, Claudia M B Carvalho, Richard A Gibbs, James R Lupski

Faculty, Staff and Student Publications

Protein phosphatase 1 regulatory subunit 35 (PPP1R35) encodes a centrosomal protein required for recruiting microtubule-binding elongation machinery. Several proteins in this centriole biogenesis pathway correspond to established primary microcephaly (MCPH) genes, and multiple model organism studies hypothesize PPP1R35 as a candidate MCPH gene. Here, using exome sequencing (ES) and family-based rare variant analyses, we report a homozygous, frameshifting indel deleting the canonical stop codon in the last exon of PPP1R35 [Chr7: c.753_*3delGGAAGCGTAGACCinsCG (p.Trp251Cysfs*22)]; the variant allele maps in a 3.7 Mb block of absence of heterozygosity (AOH) in a proband with severe MCPH (-4.3 SD at birth, -6.1 SD by …

Braf V600e-Mutant Cancers Treated With Vemurafenib Alone Or In Combination With Everolimus, Sorafenib, Or Crizotinib Or With Paclitaxel And Carboplatin (Vem-Plus) Study, Blessie Elizabeth Nelson, Jason Roszik, Filip Janku, David S Hong, Shumei Kato, Aung Naing, Sarina Piha-Paul, Siqing Fu, Apostolia Tsimberidou, Maria Cabanillas, Naifa Lamki Busaidy, Milind Javle, Lauren Averett Byers, John V Heymach, Funda Meric-Bernstam, Vivek Subbiah

Faculty, Staff and Student Publications

Combined BRAF + MEK inhibition is FDA approved for BRAF V600E-mutant solid tumors except for colorectal cancer. However, beyond MAPK mediated resistance several other mechanisms of resistance such as activation of CRAF, ARAF, MET, P13K/AKT/mTOR pathway exist among other complex pathways. In the VEM-PLUS study, we performed a pooled analysis of four phase one studies evaluating the safety and efficacy of vemurafenib monotherapy and vemurafenib combined with targeted therapies (sorafenib, crizotinib, or everolimus) or carboplatin plus paclitaxel in advanced solid tumors harboring BRAF V600 mutations. When vemurafenib monotherapy was compared with the combination regimens, no significant differences in OS or …

Genome-Wide Mendelian Randomization Identifies Putatively Causal Gut Microbiota For Multiple Peptic Ulcer Diseases, Jingwei Zhao, Yucheng Hou, Tianyi Xie, Yizhang Zhu, Xinyi Feng, Yong Zhang, Ziyi Yang, Wei Gong

Faculty, Staff and Student Publications

OBJECTIVE: The pathogenesis of peptic ulcer diseases (PUDs) involves multiple factors, and the contribution of gut microbiota to this process remains unclear. While previous studies have associated gut microbiota with peptic ulcers, the precise nature of the relationship, whether causal or influenced by biases, requires further elucidation.

DESIGN: The largest meta-analysis of genome-wide association studies was conducted by the MiBioGen consortium, which provided the summary statistics of gut microbiota for implementation in the Mendelian randomization (MR) analysis. Summary statistics for five types of PUDs were compiled using the FinnGen Consortium R8 release data. Various statistical techniques, including inverse variance weighting …

The Assembled Genome Of The Stroke-Prone Spontaneously Hypertensive Rat, Theodore S Kalbfleisch, Nahla A Hussien Abouel Ela, Kai Li, Wesley A Brashear, Kelli J Kochan, Andrew E Hillhouse, Yaming Zhu, Isha S Dhande, Eric J Kline, Elizabeth A Hudson, Terence D Murphy, Françoise Thibaud-Nissen, Melissa L Smith, Peter A Doris

Faculty, Staff and Student Publications

BACKGROUND: We report the creation and evaluation of a de novo assembly of the genome of the spontaneously hypertensive rat, the most widely used model of human cardiovascular disease.

METHODS: The genome is assembled from long read sequencing (PacBio HiFi and continuous long read data [CLR]) and scaffolded with long-range structural information obtained from Bionano optical maps and proximity ligation sequencing proximity analysis of the genome. The genome assembly was polished with Illumina short reads. Completeness of the assembly was investigated using Benchmarking Universal Single Copy Orthologs analysis. The genome assembly was also evaluated with the rat reference gene set, …

Development Of Competency-Based Online Genomic Medicine Training (Cogent), Susanne B Haga, Wendy K Chung, Luis A Cubano, Timothy B Curry, Philip E Empey, Geoffrey S Ginsburg, Kara Mangold, Christina Y Miyake, Siddharth K Prakash, Laura B Ramsey, Robb Rowley, Carolyn R Rohrer Vitek, Todd C Skaar, Julia Wynn, Teri A Manolio

Faculty, Staff and Student Publications

The fields of genetics and genomics have greatly expanded across medicine through the development of new technologies that have revealed genetic contributions to a wide array of traits and diseases. Thus, the development of widely available educational resources for all healthcare providers is essential to ensure the timely and appropriate utilization of genetics and genomics patient care. In 2020, the National Human Genome Research Institute released a call for new proposals to develop accessible, sustainable online education for health providers. This paper describes the efforts of the six teams awarded to reach the goal of providing genetic and genomic training …

Exome Array Analysis Of 9721 Ischemic Stroke Cases From The Sign Consortium, Huichun Xu, Kevin Nguyen, Brady J Gaynor, Hua Ling, Wei Zhao, Patrick F Mcardle, Timothy D O'Connor, O Colin Stine, Kathleen A Ryan, Megan Lynch, Jennifer A Smith, Jessica D Faul, Yao Hu, Jeffrey W Haessler, Myriam Fornage, Charles Kooperberg, On Behalf Of The Trans-Omics For Precision Medicine Topmed Stroke Working Group, James A Perry, Charles C Hong, John W Cole, Elizabeth Pugh, Kimberly Doheny, Sharon L R Kardia, David R Weir, Steven J Kittner, Braxton D Mitchell, Sign Consortium

Faculty, Staff and Student Publications

Recent genome wide association studies have identified 89 common genetic variants robustly associated with ischemic stroke and primarily located in non-coding regions. To evaluate the contribution of coding variants, which are mostly rare, we performed an exome array analysis on 106,101 SNPs for 9721 ischemic stroke cases from the SiGN Consortium, and 12,345 subjects with no history of stroke from the Health Retirement Study and SiGN consortium. We identified 15 coding variants significantly associated with all ischemic stroke at array-wide threshold (i.e., p < 4.7 × 10-7), including two common SNPs in ABO that have previously been associated with stroke. Twelve of the remaining 13 variants were extremely rare …

Further Evidence That Arih1 Rare Variants Predispose To Thoracic Aortic Disease, Maura L Boerio, Nicole M Engelhardt, Sanmati Cuddapah, Jessica I Gold, Isabella C Marin, Amélie Pinard, Dongchuan Guo, Siddharth K Prakash, Dianna M Milewicz

Faculty, Staff and Student Publications

No abstract provided.

Privacy-Aware Estimation Of Relatedness In Admixed Populations, Su Wang, Miran Kim, Wentao Li, Xiaoqian Jiang, Han Chen, Arif Harmanci

Faculty, Staff and Student Publications

BACKGROUND: Estimation of genetic relatedness, or kinship, is used occasionally for recreational purposes and in forensic applications. While numerous methods were developed to estimate kinship, they suffer from high computational requirements and often make an untenable assumption of homogeneous population ancestry of the samples. Moreover, genetic privacy is generally overlooked in the usage of kinship estimation methods. There can be ethical concerns about finding unknown familial relationships in third-party databases. Similar ethical concerns may arise while estimating and reporting sensitive population-level statistics such as inbreeding coefficients for the concerns around marginalization and stigmatization.

RESULTS: Here, we present SIGFRIED, which makes …

The Evolving Privacy And Security Concerns For Genomic Data Analysis And Sharing As Observed From The Idash Competition, Tsung-Ting Kuo, Xiaoqian Jiang, Haixu Tang, Xiaofeng Wang, Arif Harmanci, Miran Kim, Kai Post, Diyue Bu, Tyler Bath, Jihoon Kim, Weijie Liu, Hongbo Chen, Lucila Ohno-Machado

Faculty, Staff and Student Publications

Concerns regarding inappropriate leakage of sensitive personal information as well as unauthorized data use are increasing with the growth of genomic data repositories. Therefore, privacy and security of genomic data have become increasingly important and need to be studied. With many proposed protection techniques, their applicability in support of biomedical research should be well understood. For this purpose, we have organized a community effort in the past 8 years through the integrating data for analysis, anonymization and sharing consortium to address this practical challenge. In this article, we summarize our experience from these competitions, report lessons learned from the events …

Scgwas: Landscape Of Trait-Cell Type Associations By Integrating Single-Cell Transcriptomics-Wide And Genome-Wide Association Studies, Peilin Jia, Ruifeng Hu, Fangfang Yan, Yulin Dai, Zhongming Zhao

Faculty, Staff and Student Publications

BACKGROUND: The rapid accumulation of single-cell RNA sequencing (scRNA-seq) data presents unique opportunities to decode the genetically mediated cell-type specificity in complex diseases. Here, we develop a new method, scGWAS, which effectively leverages scRNA-seq data to achieve two goals: (1) to infer the cell types in which the disease-associated genes manifest and (2) to construct cellular modules which imply disease-specific activation of different processes.

RESULTS: scGWAS only utilizes the average gene expression for each cell type followed by virtual search processes to construct the null distributions of module scores, making it scalable to large scRNA-seq datasets. We demonstrated scGWAS in …

Svat: Secure Outsourcing Of Variant Annotation And Genotype Aggregation, Miran Kim, Su Wang, Xiaoqian Jiang, Arif Harmanci

Faculty, Staff and Student Publications

BACKGROUND: Sequencing of thousands of samples provides genetic variants with allele frequencies spanning a very large spectrum and gives invaluable insight into genetic determinants of diseases. Protecting the genetic privacy of participants is challenging as only a few rare variants can easily re-identify an individual among millions. In certain cases, there are policy barriers against sharing genetic data from indigenous populations and stigmatizing conditions.

RESULTS: We present SVAT, a method for secure outsourcing of variant annotation and aggregation, which are two basic steps in variant interpretation and detection of causal variants. SVAT uses homomorphic encryption to encrypt the data at …

Machine Learning Modeling Of Protein-Intrinsic Features Predicts Tractability Of Targeted Protein Degradation, Wubing Zhang, Shourya S Roy Burman, Jiaye Chen, Katherine A Donovan, Yang Cao, Chelsea Shu, Boning Zhang, Zexian Zeng, Shengqing Gu, Yi Zhang, Dian Li, Eric S Fischer, Collin Tokheim, X Shirley Liu

Faculty, Staff and Student Publications

Targeted protein degradation (TPD) has rapidly emerged as a therapeutic modality to eliminate previously undruggable proteins by repurposing the cell’s endogenous protein degradation machinery. However, the susceptibility of proteins for targeting by TPD approaches, termed “degradability”, is largely unknown. Here, we developed a machine learning model, model-free analysis of protein degradability (MAPD), to predict degradability from features intrinsic to protein targets. MAPD shows accurate performance in predicting kinases that are degradable by TPD compounds [with an area under the precision–recall curve (AUPRC) of 0.759 and an area under the receiver operating characteristic curve (AUROC) of 0.775] and is …

Cost-Effectiveness Frameworks For Comparing Genome And Exome Sequencing Versus Conventional Diagnostic Pathways: A Scoping Review And Recommended Methods, Bart S Ferket, Zach Baldwin, Priyanka Murali, Akila Pai, Kathleen F Mittendorf, Heidi V Russell, Flavia Chen, Frances L Lynch, Kristen Hassmiller Lich, Lucia A Hindorff, Renate Savich, Anne Slavotinek, Hadley Stevens Smith, Bruce D Gelb, David L Veenstra

Faculty, Staff and Student Publications

PURPOSE: Methodological challenges have limited economic evaluations of genome sequencing (GS) and exome sequencing (ES). Our objective was to develop conceptual frameworks for model-based cost-effectiveness analyses (CEAs) of diagnostic GS/ES.

METHODS: We conducted a scoping review of economic analyses to develop and iterate with experts a set of conceptual CEA frameworks for GS/ES for prenatal testing, early diagnosis in pediatrics, diagnosis of delayed-onset disorders in pediatrics, genetic testing in cancer, screening of newborns, and general population screening.

RESULTS: Reflecting on 57 studies meeting inclusion criteria, we recommend the following considerations for each clinical scenario. For prenatal testing, performing comparative analyses …

“Stripe” Transcription Factors Provide Accessibility To Co-Binding Partners In Mammalian Genomes, Yongbing Zhao, Supriya V Vartak, Andrea Conte, Xiang Wang, David A Garcia, Evan Stevens, Seol Kyoung Jung, Kyong-Rim Kieffer-Kwon, Laura Vian, Timothy Stodola, Francisco Moris, Laura Chopp, Silvia Preite, Pamela L Schwartzberg, Joseph M Kulinski, Ana Olivera, Christelle Harly, Avinash Bhandoola, Elisabeth F Heuston, David M Bodine, Raul Urrutia, Arpita Upadhyaya, Matthew T Weirauch, Gordon Hager, Rafael Casellas

Faculty, Staff and Student Publications

Regulatory elements activate promoters by recruiting transcription factors (TFs) to specific motifs. Notably, TF-DNA interactions often depend on cooperativity with colocalized partners, suggesting an underlying cis-regulatory syntax. To explore TF cooperativity in mammals, we analyze ∼500 mouse and human primary cells by combining an atlas of TF motifs, footprints, ChIP-seq, transcriptomes, and accessibility. We uncover two TF groups that colocalize with most expressed factors, forming stripes in hierarchical clustering maps. The first group includes lineage-determining factors that occupy DNA elements broadly, consistent with their key role in tissue-specific transcription. The second one, dubbed universal stripe factors (USFs), comprises ∼30 SP, …

Evaluation Of Vicinity-Based Hidden Markov Models For Genotype Imputation, Su Wang, Miran Kim, Xiaoqian Jiang, Arif Ozgun Harmanci

Faculty, Staff and Student Publications

BACKGROUND: The decreasing cost of DNA sequencing has led to a great increase in our knowledge about genetic variation. While population-scale projects bring important insight into genotype-phenotype relationships, the cost of performing whole-genome sequencing on large samples is still prohibitive. In-silico genotype imputation coupled with genotyping-by-arrays is a cost-effective and accurate alternative for genotyping of common and uncommon variants. Imputation methods compare the genotypes of the typed variants with the large population-specific reference panels and estimate the genotypes of untyped variants by making use of the linkage disequilibrium patterns. Most accurate imputation methods are based on the Li-Stephens hidden Markov …

A Multi-Layer Functional Genomic Analysis To Understand Noncoding Genetic Variation In Lipids, Shweta Ramdas, Jonathan Judd, Sarah E Graham, Stavroula Kanoni, Yuxuan Wang, Ida Surakka, Brandon Wenz, Shoa L Clarke, Alessandra Chesi, Andrew Wells, Konain Fatima Bhatti, Sailaja Vedantam, Thomas W Winkler, Adam E Locke, Eirini Marouli, Greg J M Zajac, Kuan-Han H Wu, Ioanna Ntalla, Qin Hui, Derek Klarin, Austin T Hilliard, Zeyuan Wang, Chao Xue, Gudmar Thorleifsson, Anna Helgadottir, Daniel F Gudbjartsson, Hilma Holm, Isleifur Olafsson, Mi Yeong Hwang, Sohee Han, Masato Akiyama, Saori Sakaue, Chikashi Terao, Masahiro Kanai, Wei Zhou, Ben M Brumpton, Humaira Rasheed, Aki S Havulinna, Yogasudha Veturi, Jennifer Allen Pacheco, Elisabeth A Rosenthal, Todd Lingren, Qiping Feng, Iftikhar J Kullo, Akira Narita, Jun Takayama, Hilary C Martin, Karen A Hunt, Bhavi Trivedi, Jeffrey Haessler, Franco Giulianini, Yuki Bradford, Jason E Miller, Archie Campbell, Kuang Lin, Iona Y Millwood, Asif Rasheed, George Hindy, Jessica D Faul, Wei Zhao, David R Weir, Constance Turman, Hongyan Huang, Mariaelisa Graff, Ananyo Choudhury, Dhriti Sengupta, Anubha Mahajan, Michael R Brown, Weihua Zhang, Ketian Yu, Ellen M Schmidt, Anita Pandit, Stefan Gustafsson, Xianyong Yin, Jian'an Luan, Jing-Hua Zhao, Fumihiko Matsuda, Hye-Mi Jang, Kyungheon Yoon, Carolina Medina-Gomez, Achilleas Pitsillides, Jouke Jan Hottenga, Andrew R Wood, Yingji Ji, Zishan Gao, Simon Haworth, Ruth E Mitchell, Jin Fang Chai, Mette Aadahl, Anne A Bjerregaard, Jie Yao, Ani Manichaikul, Wen-Jane Lee, Chao Agnes Hsiung, Helen R Warren, Julia Ramirez, Jette Bork-Jensen, Line L Kårhus, Anuj Goel, Maria Sabater-Lleal, Raymond Noordam, Pala Mauro, Floris Matteo, Aaron F Mcdaid, Pedro Marques-Vidal, Matthias Wielscher, Stella Trompet, Naveed Sattar, Line T Møllehave, Matthias Munz, Lingyao Zeng, Jianfeng Huang, Bin Yang, Alaitz Poveda, Azra Kurbasic, Sebastian Schönherr, Lukas Forer, Markus Scholz, Tessel E Galesloot, Jonathan P Bradfield, Sanni E Ruotsalainen, E Warwick Daw, Joseph M Zmuda, Jonathan S Mitchell, Christian Fuchsberger, Henry Christensen, Jennifer A Brody, Phuong Le, Mary F Feitosa, Mary K Wojczynski, Daiane Hemerich, Michael Preuss, Massimo Mangino, Paraskevi Christofidou, Niek Verweij, Jan W Benjamins, Jorgen Engmann, Tsao L Noah, Anurag Verma, Roderick C Slieker, Ken Sin Lo, Nuno R Zilhao, Marcus E Kleber, Graciela E Delgado, Shaofeng Huo, Daisuke D Ikeda, Hiroyuki Iha, Jian Yang, Jun Liu, Ayşe Demirkan, Hampton L Leonard, Jonathan Marten, Carina Emmel, Börge Schmidt, Laura J Smyth, Marisa Cañadas-Garre, Chaolong Wang, Masahiro Nakatochi, Andrew Wong, Nina Hutri-Kähönen, Xueling Sim, Rui Xia, Alicia Huerta-Chagoya, Juan Carlos Fernandez-Lopez, Valeriya Lyssenko, Suraj S Nongmaithem, Alagu Sankareswaran, Marguerite R Irvin, Christopher Oldmeadow, Han-Na Kim, Seungho Ryu, Paul R H J Timmers, Liubov Arbeeva, Rajkumar Dorajoo, Leslie A Lange, Gauri Prasad, Laura Lorés-Motta, Marc Pauper, Jirong Long, Xiaohui Li, Elizabeth Theusch, Fumihiko Takeuchi, Cassandra N Spracklen, Anu Loukola, Sailalitha Bollepalli, Sophie C Warner, Ya Xing Wang, Wen B Wei, Teresa Nutile, Daniela Ruggiero, Yun Ju Sung, Shufeng Chen, Fangchao Liu, Jingyun Yang, Katherine A Kentistou, Bernhard Banas, Anna Morgan, Karina Meidtner, Lawrence F Bielak, Jennifer A Smith, Prashantha Hebbar, Aliki-Eleni Farmaki, Edith Hofer, Maoxuan Lin, Maria Pina Concas, Simona Vaccargiu, Peter J Van Der Most, Niina Pitkänen, Brian E Cade, Sander W Van Der Laan, Kumaraswamy Naidu Chitrala, Stefan Weiss, Amy R Bentley, Ayo P Doumatey, Adebowale A Adeyemo, Jong Young Lee, Eva R B Petersen, Aneta A Nielsen, Hyeok Sun Choi, Maria Nethander, Sandra Freitag-Wolf, Lorraine Southam, Nigel W Rayner, Carol A Wang, Shih-Yi Lin, Jun-Sing Wang, Christian Couture, Leo-Pekka Lyytikäinen, Kjell Nikus, Gabriel Cuellar-Partida, Henrik Vestergaard, Bertha Hidalgo, Olga Giannakopoulou, Qiuyin Cai, Morgan O Obura, Jessica Van Setten, Karen Y He, Hua Tang, Natalie Terzikhan, Jae Hun Shin, Rebecca D Jackson, Alexander P Reiner, Lisa Warsinger Martin, Zhengming Chen, Liming Li, Takahisa Kawaguchi, Joachim Thiery, Joshua C Bis, Lenore J Launer, Huaixing Li, Mike A Nalls, Olli T Raitakari, Sahoko Ichihara, Sarah H Wild, Christopher P Nelson, Harry Campbell, Susanne Jäger, Toru Nabika, Fahd Al-Mulla, Harri Niinikoski, Peter S Braund, Ivana Kolcic, Peter Kovacs, Tota Giardoglou, Tomohiro Katsuya, Dominique De Kleijn, Gert J De Borst, Eung Kweon Kim, Hieab H H Adams, M Arfan Ikram, Xiaofeng Zhu, Folkert W Asselbergs, Adriaan O Kraaijeveld, Joline W J Beulens, Xiao-Ou Shu, Loukianos S Rallidis, Oluf Pedersen, Torben Hansen, Paul Mitchell, Alex W Hewitt, Mika Kähönen, Louis Pérusse, Claude Bouchard, Anke Tönjes, Yii-Der Ida Chen, Craig E Pennell, Trevor A Mori, Wolfgang Lieb, Andre Franke, Claes Ohlsson, Dan Mellström, Yoon Shin Cho, Hyejin Lee, Jian-Min Yuan, Woon-Puay Koh, Sang Youl Rhee, Jeong-Taek Woo, Iris M Heid, Klaus J Stark, Martina E Zimmermann, Henry Völzke, Georg Homuth, Michele K Evans, Alan B Zonderman, Ozren Polasek, Gerard Pasterkamp, Imo E Hoefer, Susan Redline, Katja Pahkala, Albertine J Oldehinkel, Harold Snieder, Ginevra Biino, Reinhold Schmidt, Helena Schmidt, Stefania Bandinelli, George Dedoussis, Thangavel Alphonse Thanaraj, Patricia A Peyser, Norihiro Kato, Matthias B Schulze, Giorgia Girotto, Carsten A Böger, Bettina Jung, Peter K Joshi, David A Bennett, Philip L De Jager, Xiangfeng Lu, Vasiliki Mamakou, Morris Brown, Mark J Caulfield, Patricia B Munroe, Xiuqing Guo, Marina Ciullo, Jost B Jonas, Nilesh J Samani, Jaakko Kaprio, Päivi Pajukanta, Teresa Tusié-Luna, Carlos A Aguilar-Salinas, Linda S Adair, Sonny Augustin Bechayda, H Janaka De Silva, Ananda R Wickremasinghe, Ronald M Krauss, Jer-Yuarn Wu, Wei Zheng, Anneke I Den Hollander, Dwaipayan Bharadwaj, Adolfo Correa, James G Wilson, Lars Lind, Chew-Kiat Heng, Amanda E Nelson, Yvonne M Golightly, James F Wilson, Brenda Penninx, Hyung-Lae Kim, John Attia, Rodney J Scott, D C Rao, Donna K Arnett, Mark Walker, Laura J Scott, Heikki A Koistinen, Giriraj R Chandak, Josep M Mercader, Clicerio Gonzalez Villalpando, Lorena Orozco, Myriam Fornage, E Shyong Tai, Rob M Van Dam, Terho Lehtimäki, Nish Chaturvedi, Mitsuhiro Yokota, Jianjun Liu, Dermot F Reilly, Amy Jayne Mcknight, Frank Kee, Karl-Heinz Jöckel, Mark I Mccarthy, Colin N A Palmer, Veronique Vitart, Caroline Hayward, Eleanor Simonsick, Cornelia M Van Duijn, Zi-Bing Jin, Fan Lu, Haretsugu Hishigaki, Xu Lin, Winfried März, Vilmundur Gudnason, Jean-Claude Tardif, Guillaume Lettre, Leen M T Hart, Petra J M Elders, Daniel J Rader, Scott M Damrauer, Meena Kumari, Mika Kivimaki, Pim Van Der Harst, Tim D Spector, Ruth J F Loos, Michael A Province, Esteban J Parra, Miguel Cruz, Bruce M Psaty, Ivan Brandslund, Peter P Pramstaller, Charles N Rotimi, Kaare Christensen, Samuli Ripatti, Elisabeth Widén, Hakon Hakonarson, Struan F A Grant, Lambertus Kiemeney, Jacqueline De Graaf, Markus Loeffler, Florian Kronenberg, Dongfeng Gu, Jeanette Erdmann, Heribert Schunkert, Paul W Franks, Allan Linneberg, J Wouter Jukema, Amit V Khera, Minna Männikkö, Marjo-Riitta Jarvelin, Zoltan Kutalik, Cucca Francesco, Dennis O Mook-Kanamori, Ko Willems Van Dijk, Hugh Watkins, David P Strachan, Niels Grarup, Peter Sever, Neil Poulter, Wayne Huey-Herng Sheu, Jerome I Rotter, Thomas M Dantoft, Fredrik Karpe, Matt J Neville, Nicholas J Timpson, Ching-Yu Cheng, Tien-Yin Wong, Chiea Chuen Khor, Hengtong Li, Charumathi Sabanayagam, Annette Peters, Christian Gieger, Andrew T Hattersley, Nancy L Pedersen, Patrik K E Magnusson, Dorret I Boomsma, Eco J C De Geus, L Adrienne Cupples, Joyce B J Van Meurs, Arfan Ikram, Mohsen Ghanbari, Penny Gordon-Larsen, Wei Huang, Young Jin Kim, Yasuharu Tabara, Nicholas J Wareham, Claudia Langenberg, Eleftheria Zeggini, Jaakko Tuomilehto, Johanna Kuusisto, Markku Laakso, Erik Ingelsson, Goncalo Abecasis, John C Chambers, Jaspal S Kooner, Paul S De Vries, Alanna C Morrison, Scott Hazelhurst, Michèle Ramsay, Kari E North, Martha Daviglus, Peter Kraft, Nicholas G Martin, John B Whitfield, Shahid Abbas, Danish Saleheen, Robin G Walters, Michael V Holmes, Corri Black, Blair H Smith, Aris Baras, Anne E Justice, Julie E Buring, Paul M Ridker, Daniel I Chasman, Charles Kooperberg, Gen Tamiya, Masayuki Yamamoto, David A Van Heel, Richard C Trembath, Wei-Qi Wei, Gail P Jarvik, Bahram Namjou, M Geoffrey Hayes, Marylyn D Ritchie, Pekka Jousilahti, Veikko Salomaa, Kristian Hveem, Bjørn Olav Åsvold, Michiaki Kubo, Yoichiro Kamatani, Yukinori Okada, Yoshinori Murakami, Bong-Jo Kim, Unnur Thorsteinsdottir, Kari Stefansson, Jifeng Zhang, Y Eugene Chen, Yuk-Lam Ho, Julie A Lynch, Philip S Tsao, Kyong-Mi Chang, Kelly Cho, Christopher J O'Donnell, John M Gaziano, Peter Wilson, Karen L Mohlke, Timothy M Frayling, Joel N Hirschhorn, Sekar Kathiresan, Michael Boehnke, Million Veterans Program, Global Lipids Genetics Consortium, Struan Grant, Pradeep Natarajan, Yan V Sun, Andrew P Morris, Panos Deloukas, Gina Peloso, Themistocles L Assimes, Cristen J Willer, Xiang Zhu, Christopher D Brown

Faculty, Staff and Student Publications

A major challenge of genome-wide association studies (GWASs) is to translate phenotypic associations into biological insights. Here, we integrate a large GWAS on blood lipids involving 1.6 million individuals from five ancestries with a wide array of functional genomic datasets to discover regulatory mechanisms underlying lipid associations. We first prioritize lipid-associated genes with expression quantitative trait locus (eQTL) colocalizations and then add chromatin interaction data to narrow the search for functional genes. Polygenic enrichment analysis across 697 annotations from a host of tissues and cell types confirms the central role of the liver in lipid levels and highlights the selective …

Novel And Extendable Genotyping System For Human Respiratory Syncytial Virus Based On Whole-Genome Sequence Analysis, Jiani Chen, Xueting Qiu, Vasanthi Avadhanula, Samuel S Shepard, Do-Kyun Kim, James Hixson, Pedro A Piedra, Justin Bahl

Faculty, Staff and Student Publications

BACKGROUND: Human respiratory syncytial virus (RSV) is one of the leading causes of respiratory infections, especially in infants and young children. Previous RSV sequencing studies have primarily focused on partial sequencing of G gene (200-300 nucleotides) for genotype characterization or diagnostics. However, the genotype assignment with G gene has not recapitulated the phylogenetic signal of other genes, and there is no consensus on RSV genotype definition.

METHODS: We conducted maximum likelihood phylogenetic analysis with 10 RSV individual genes and whole-genome sequence (WGS) that are published in GenBank. RSV genotypes were determined by using phylogenetic analysis and pair-wise node distances.

RESULTS: …

Centers For Mendelian Genomics: A Decade Of Facilitating Gene Discovery, Samantha M Baxter, Jennifer E Posey, Nicole J Lake, Nara Sobreira, Jessica X Chong, Steven Buyske, Elizabeth E Blue, Lisa H Chadwick, Zeynep H Coban-Akdemir, Kimberly F Doheny, Colleen P Davis, Monkol Lek, Christopher Wellington, Shalini N Jhangiani, Mark Gerstein, Richard A Gibbs, Richard P Lifton, Daniel G Macarthur, Tara C Matise, James R Lupski, David Valle, Michael J Bamshad, Ada Hamosh, Shrikant Mane, Deborah A Nickerson, Heidi L Rehm, Anne O'Donnell-Luria

Faculty, Staff and Student Publications

PURPOSE: Mendelian disease genomic research has undergone a massive transformation over the past decade. With increasing availability of exome and genome sequencing, the role of Mendelian research has expanded beyond data collection, sequencing, and analysis to worldwide data sharing and collaboration.

METHODS: Over the past 10 years, the National Institutes of Health-supported Centers for Mendelian Genomics (CMGs) have played a major role in this research and clinical evolution.

RESULTS: We highlight the cumulative gene discoveries facilitated by the program, biomedical research leveraged by the approach, and the larger impact on the research community. Beyond generating a list of gene-phenotype relationships …

Rare Coding Variants In 35 Genes Associate With Circulating Lipid Levels-A Multi-Ancestry Analysis Of 170,000 Exomes, George Hindy, Peter Dornbos, Mark D Chaffin, Dajiang J Liu, Minxian Wang, Margaret Sunitha Selvaraj, David Zhang, Joseph Park, Carlos A Aguilar-Salinas, Lucinda Antonacci-Fulton, Diego Ardissino, Donna K Arnett, Stella Aslibekyan, Gil Atzmon, Christie M Ballantyne, Francisco Barajas-Olmos, Nir Barzilai, Lewis C Becker, Lawrence F Bielak, Joshua C Bis, John Blangero, Eric Boerwinkle, Lori L Bonnycastle, Erwin Bottinger, Donald W Bowden, Matthew J Bown, Jennifer A Brody, Jai G Broome, Noël P Burtt, Brian E Cade, Federico Centeno-Cruz, Edmund Chan, Yi-Cheng Chang, Yii-Der I Chen, Ching-Yu Cheng, Won Jung Choi, Rajiv Chowdhury, Cecilia Contreras-Cubas, Emilio J Córdova, Adolfo Correa, L Adrienne Cupples, Joanne E Curran, John Danesh, Paul S De Vries, Ralph A Defronzo, Harsha Doddapaneni, Ravindranath Duggirala, Susan K Dutcher, Patrick T Ellinor, Leslie S Emery, Jose C Florez, Myriam Fornage, Barry I Freedman, Valentin Fuster, Ma Eugenia Garay-Sevilla, Humberto García-Ortiz, Soren Germer, Richard A Gibbs, Christian Gieger, Benjamin Glaser, Clicerio Gonzalez, Maria Elena Gonzalez-Villalpando, Mariaelisa Graff, Sarah E Graham, Niels Grarup, Leif C Groop, Xiuqing Guo, Namrata Gupta, Sohee Han, Craig L Hanis, Torben Hansen, Jiang He, Nancy L Heard-Costa, Yi-Jen Hung, Mi Yeong Hwang, Marguerite R Irvin, Sergio Islas-Andrade, Gail P Jarvik, Hyun Min Kang, Sharon L R Kardia, Tanika Kelly, Eimear E Kenny, Alyna T Khan, Bong-Jo Kim, Ryan W Kim, Young Jin Kim, Heikki A Koistinen, Charles Kooperberg, Johanna Kuusisto, Soo Heon Kwak, Markku Laakso, Leslie A Lange, Jiwon Lee, Juyoung Lee, Seonwook Lee, Donna M Lehman, Rozenn N Lemaitre, Allan Linneberg, Jianjun Liu, Ruth J F Loos, Steven A Lubitz, Valeriya Lyssenko, Ronald C W Ma, Lisa Warsinger Martin, Angélica Martínez-Hernández, Rasika A Mathias, Stephen T Mcgarvey, Ruth Mcpherson, James B Meigs, Thomas Meitinger, Olle Melander, Elvia Mendoza-Caamal, Ginger A Metcalf, Xuenan Mi, Karen L Mohlke, May E Montasser, Jee-Young Moon, Hortensia Moreno-Macías, Alanna C Morrison, Donna M Muzny, Sarah C Nelson, Peter M Nilsson, Jeffrey R O'Connell, Marju Orho-Melander, Lorena Orozco, Colin N A Palmer, Nicholette D Palmer, Cheol Joo Park, Kyong Soo Park, Oluf Pedersen, Juan M Peralta, Patricia A Peyser, Wendy S Post, Michael Preuss, Bruce M Psaty, Qibin Qi, D C Rao, Susan Redline, Alexander P Reiner, Cristina Revilla-Monsalve, Stephen S Rich, Nilesh Samani, Heribert Schunkert, Claudia Schurmann, Daekwan Seo, Jeong-Sun Seo, Xueling Sim, Rob Sladek, Kerrin S Small, Wing Yee So, Adrienne M Stilp, E Shyong Tai, Claudia H T Tam, Kent D Taylor, Yik Ying Teo, Farook Thameem, Brian Tomlinson, Michael Y Tsai, Tiinamaija Tuomi, Jaakko Tuomilehto, Teresa Tusié-Luna, Miriam S Udler, Rob M Van Dam, Ramachandran S Vasan, Karine A Viaud Martinez, Fei Fei Wang, Xuzhi Wang, Hugh Watkins, Daniel E Weeks, James G Wilson, Daniel R Witte, Tien-Yin Wong, Lisa R Yanek, Amp-T2d-Genes, Myocardial Infarction Genetics Consortium, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Nhlbi Topmed Lipids Working Group, Sekar Kathiresan, Daniel J Rader, Jerome I Rotter, Michael Boehnke, Mark I Mccarthy, Cristen J Willer, Pradeep Natarajan, Jason A Flannick, Amit V Khera, Gina M Peloso

Faculty, Staff and Student Publications

Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency < 1%) predicted damaging coding variation by using sequence data from >170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, …